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1 день назад

Distributed Systems Engineer (Data Platform)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Distributed Systems Engineer (Data Platform): Building and maintaining high-performance analytical systems for a large-scale data platform with an accent on real-time alerting and API scalability. Focus on designing complex distributed systems, optimizing high-load analytical queries, and ensuring reliability for mission-critical customer data services.

Location: Must be based in Austin, US (Hybrid role).

Company

hirify.global is a global technology company on a mission to build a better Internet through an intelligent, high-performance network that provides security and performance for millions of properties.

What you will do

  • Develop and maintain scalable customer-facing APIs, focusing on GraphQL-based analytics.
  • Design and scale near real-time alerting systems, including anomaly detection and notification delivery.
  • Optimize complex analytical queries and platform performance in collaboration with database teams.
  • Build robust tooling for data exploration and customer-configured alerting.
  • Ensure operational health through monitoring, documentation, and participation in on-call rotations.
  • Collaborate with product and frontend teams to define API contracts and deliver seamless data experiences.

Requirements

  • 3+ years of experience in distributed systems and scalable API development.
  • Strong programming skills in Go or similar performance-oriented languages.
  • Proficiency in SQL and complex query optimization techniques.
  • Strong understanding of algorithms, data structures, and concurrency.
  • Hands-on experience with observability tools like Prometheus and Grafana.
  • Must be authorized to work in the US without sponsorship for export control compliance.

Nice to have

  • Experience with GraphQL development.
  • Knowledge of data streaming technologies such as Kafka or Flink.
  • Familiarity with Infrastructure as Code tools like Terraform or Salt.
  • Experience with Linux containerization using Docker and Kubernetes.

Culture & Benefits

  • Focus on curiosity, iteration, and AI-native problem solving.
  • Opportunity to work on large-scale infrastructure impacting a significant portion of the Internet.
  • Collaborative, meritocratic environment that values shared knowledge and growth.
  • Dedicated to supporting open Internet initiatives and high-impact social projects.
  • Commitment to diversity, inclusion, and equal opportunity employment.

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